Abstract
Traditionally, vehicle routing is optimized for travel time or distance. However, there are contexts where routes that prioritize safety over other criteria are needed. This disclosure describes techniques that use publicly-available vehicle crash data and machine learning models trained on roadway characteristics, driver behavior, environmental factors, etc. to predict the likelihood of an accident on a given route. The historical data and the predictions made by the model are used as signals to rank recommended routes in a navigation system.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
N/A, "Safety-aware Routing Using Machine Learning", Technical Disclosure Commons, (May 13, 2020)
https://www.tdcommons.org/dpubs_series/3233